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🔥 FireScrape MCP Server

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The Ultimate Gateway for AI Agents. Empower your LLMs to Browse, Search, Research, and Scrape with precision.

InstallationConnection GuidesAI RulesTools


🚀 Overview

FireScrape MCP is a Model Context Protocol server designed to bridge the gap between AI models (Claude, Cursor, etc.) and the real world. It provides robust tools for:

  • Deep Research: Multi-step autonomous investigation and synthesis.

  • Web Access: Anti-blocking search and intelligent markdown scraping.

  • Local Context: File system access for project-aware coding.

📦 Installation & Usage

Run instantly without global installation using npx:

npx -y @yutugyutugyutug/firescrape-mcp

✨ Key Features (v1.1.2)

  • 🧠 deep_research: Conducts autonomous, multi-step research on complex topics, filtering noise and synthesizing reports.

  • 🌐 search_web: High-availability web search with fallback providers (DuckDuckGo + Brave) to ensure you always get results.

  • 📄 scrape_webpage: Converts messy HTML into clean, token-efficient Markdown, stripping ads and irrelevant boilerplate.

  • 🔍 discover_tools: a "Meta-Tool" to find and install other MCP servers from GitHub and Smithery.

  • 📂 Local Integration: Seamlessly list_files and read_file to give your AI context about your local project.


🤖 AI Agent Rules

Want your AI to be smarter? We have created a standardized rule set to teach your AI agents (Cursor, Windsurf, Cline) how to effectively use these tools to verify facts and avoid hallucinations.

👉 Read the AI Usage Guidelines

Copy the content of the file above into your .cursorrules or System Prompt to supercharge your agent.


🔌 Connection Guides

1. Claude Desktop App

  1. Open your configuration file:

    • Windows: Win + R -> %APPDATA%\Claude\claude_desktop_config.json

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  2. Add this configuration:

    {
      "mcpServers": {
        "firescrape": {
          "command": "npx",
          "args": ["-y", "@yutugyutugyutug/firescrape-mcp"]
        }
      }
    }

2. Cursor (AI Code Editor)

  1. Navigate to Settings -> Features -> MCP.

  2. Click + Add New MCP Server.

  3. Fill in the fields:

    • Name: FireScrape

    • Type: stdio

    • Command: npx

    • Args: -y @yutugyutugyutug/firescrape-mcp

  4. Click Add to save.

3. Gemini CLI

  1. Locate your config file:

    • Linux/Mac: ~/.gemini/settings.json

    • Windows: %USERPROFILE%\.gemini\settings.json

  2. Insert the server configuration:

    {
      "mcpServers": {
        "firescrape": {
          "command": "npx",
          "args": ["-y", "@yutugyutugyutug/firescrape-mcp"]
        }
      }
    }

4. Claude Code (CLI)

Run this command in your terminal to add FireScrape:

claude mcp add firescrape -- npx -y @yutugyutugyutug/firescrape-mcp

5. Google Antigravity

  1. Open the Manage MCP Servers panel.

  2. Select "Edit Configuration" or open mcp_config.json.

  3. Add the entry:

    "firescrape": {
      "command": "npx",
      "args": ["-y", "@yutugyutugyutug/firescrape-mcp"]
    }

6. Cline (VS Code Extension)

  1. Open Cline Settings (in VS Code settings or via the extension menu).

  2. Locate the MCP Servers config file (usually via a button "Edit MCP Settings").

  3. Add the following:

    {
      "mcpServers": {
        "firescrape": {
          "command": "npx",
          "args": ["-y", "@yutugyutugyutug/firescrape-mcp"]
        }
      }
    }

🛠️ Tools Reference

Tool Name

Description

Parameters

scrape_webpage

Reads a specific URL and returns structured Markdown.

url (string)

search_web

Finds current info on the web.

query (string)

discover_tools

Finds other MCP servers on GitHub.

query (string)

search_in_page

Searches text inside a specific page URL.

url (string), query (string)

list_files

Lists files in a folder.

path (string, optional)

read_file

Reads a file's content.

path (string)

get_agent_rules

Returns the strict operational protocol for AI agents.

(none)


A
license - permissive license
-
quality - not tested
C
maintenance

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